Synergy between evolutionary optimization and induction graphs learning for simulated manufacturing systems

DOI10.1080/00207540410001708489zbMath1060.90568OpenAlexW2082674130MaRDI QIDQ4671322

A. L. Huyet, J. L. Paris

Publication date: 26 April 2005

Published in: International Journal of Production Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207540410001708489

Mathematics Subject Classification ID

Production models (90B30)

Related Items (1)

Optimization and analysis aid via data-mining for simulated production systems

Uses Software

• Genocop
• C4.5

Cites Work

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• A review of optimisation models of Kanban-based production systems
• Learnable evolution model: Evolutionary processes guided by machine learning
• A framework for the description of evolutionary algorithms
• A probabilistic solution-generator for simulation
• Simulation-based optimization: Parametric optimization techniques and reinforcement learning
• Dealing with design options in the optimization of manufacturing systems: An evolutionary approach
• Feature Article: Optimization for simulation: Theory vs. Practice
• Simulation optimisation using a genetic algorithm
• Introduction to Stochastic Search and Optimization

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